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African Population Database Documentation [ Back | Contents | Next ]
 

A.4. Country-specific documentation: R to Z

Notes for this (4th) version of the database

This appendix lists the data sources used to estimate the population figures in the GIS database and other relevant information pertaining to the demographic estimates and GIS datasets. Population data for 1990 and 2000 were provided by CIESIN. Population data for 1960, 1970, and 1980 were estimated by Andy Nelson, using UN country totals for those years and the existing population estimates by Uwe Deichmann.

This version of the population database contains improvements in spatial and population data for specific countries, but still relies heavily on the previous version, especially for spatial data which is referred to as "UNEP/GRID-WRI-NCGIA Africa Population Database, https://na.unep.net" in the following documentation.

Notes from the previous (3rd) version of the database

The previous version of this meta-database used data for the nineteen West African countries that were estimated by Benoit Ninnin for the West Africa Long Term Perspective Study (WALTPS) carried out by the Club du Sahel/OECD (see Ninnin 1994). All other figures were calculated by Uwe Deichmann. Unless otherwise stated the administrative boundaries were the same as those in the African Data Sampler (WRI 1995) or in the WALTPS database (see Brunner et al. 1995).


Rwanda

  Spatial data Population data
Source The boundary data set was produced by the Department of Geography at Michigan State University (Michigan State University (undated), Rwanda District Level Administrative Unit GIS Coverage Department of Geography , East Lansing.) for the UNEP/GRID-WRI-NCGIA Africa Population Database: https://na.unep.net. (1) United Nations (1973), Demographic Yearbook 1973, Department for Economic and Social Information and Policy Analysis, New York
(2) Republique Rwandaise (19XX), Atlas du Rwanda,
(3) Republique Rwandaise (1991), Recensement General de la Population et de l'Habitat Au 15 Aout 1991, Resultats Provisoires, Service National de Recensement, Kigali
(4) Michigan State University (undated), Rwanda District Level Administrative Unit GIS Coverage Department of Geography, East Lansing.
Notes   District level population was available for 1978 and 1991. Only prefecture population was available for 1970. P80 and P90 calculated from R7891. P70 estimated assuming constant growth within each prefecture. P60 estimated using P70P78 rates by prefecture. Exception: Kigali (Nyarugenge) figures for 60 and 70 were available from UNSTAT urban database.
Population data were projected to 2000 using growth rates derived from United Nations national level estimates and projections.

Sao Tome and Principe

  Spatial data Population data
Source UNEP/GRID-WRI-NCGIA Africa Population Database, https://na.unep.net Republica Democratica des Sao Tome e Principe (1978), Censo de 1970, Resultados de 1970.
Notes   P60, 80 and 90 and 2000 estimated by distributing country level totals from the UN World Pop Prospects to the two islands according to 1970 proportions.

Senegal

  Spatial data Population data
Source Produced by USGS/EDC USAID/FEWS for the UNEP/GRID-WRI-NCGIA Africa Population Database: https://na.unep.net The 1990 population figures are based on the OECD/Club du Sahel West Africa Long Term Perspective Study (WALTPS), and were estimated by Benoit Ninnin, using these sources:
(1) Etude d'une ImageLong Terme de l'Afrique.
(2) Direction de la Provision et de la Statistique: les principaux resultats provisoires du recensement de la Population et de l'Habitat du Senegal 1985: Dakar, 1989.
(3) CERPOD: Migration et urbanisation au Senegal, Ba A. et I. Sarr: Rapport de recherche.
(4) Lopez-Escartin N.: Donnees de base sur la population, Senegal: CEPED, No. 7, Paris, Aout 1991.
(5) Direction de la provision et de la statistique: Repertoire des villages, dix volumes, Transfert editions.
Notes  

Sierra Leone

  Spatial data Population data
Source Prepared for the Government of Sierra Leone Ministry of Agriculture, Forestry and Marine Resources, funded by the European Union through the National Authorising Office, by Jane Barry and Robin Schofield. See also: http://www.aidconnections.org Prepared for the Government of Sierra Leone Ministry of Agriculture, Forestry and Marine Resources, funded by the European Union through the National Authorising Office, by Jane Barry and Robin Schofield. See also: http://www.aidconnections.org
Notes   Four units were missing from the boundary data. Their population were reassigned as follows: Dibia to Tinkatupa Maki Saffoko / Port Loko / Northern, Gbense to Kamara / Kono / Eastern , Panga Kim to Panga-Kabonde / Pujehun / Southern, Sowa to Panga-Kabonde / Pujehun / Southern)

WALTPS pop estimates based on:
(1) Etude d'une Image à Long Terme de l'Afrique.
(2) Sesay I.M.: Population distribution and migration, 1992.
(3) Kaindaneh D.E et J.L.K. Muana: Population and environment.
Sierra Leone: National Report on Population and Development Inter-relationships.

Seychelles

  Spatial data Population data
Source UNEP/GRID-WRI-NCGIA Africa Population Database, https://na.unep.net 1973 and 1988 UN Demographic Yearbooks for 1971 and 1977
Notes Only two polygons representing Mahe and Praslin Islands for which separate population figures were available in the 1973 and 1988 UN Demographic Yearbooks for 1971 and 1977. By far the largest part of the population lives on Mahe Island. The total country population from the UN World Population Prospects was split to the two islands using the proportions of 1971 for P60 and P70 and those for 1977 for P80, P90 and P2000

Somalia

  Spatial data Population data
Source UNEP/GRID-WRI-NCGIA Africa Population Database, https://na.unep.net (1) World Health Organization population data provided by Charles Rethman Head of the Information Food Security Analysis Unit of Somalia, FSA
(2) Somalia Statistical Division, 1975 Census, Statistical Abstract, Central Statistical Department, Mogadishu.
(3) Somali Democratic Republic (1982), Statistical Abstract, Central Statistical Department, Mogadishu.
Notes The names of the second administrative level units in the coverage did not match those in the census listing in a large number of cases. The names from the coverage were retained, but those from the census listing are indicated in parentheses in several cases.

Very little information on the population distribution of Somalia is available. The only available census information at the 2nd subnational level was for 1975. However, the district level data from 2 did not match the province level totals for 3. They were thus adjusted uniformly to match the province level population for 1975. The 1980 province population estimates from 3 were then distributed over the districts in the province using the same proportions as in 1975; this assumes constant growth rates in each province. The 75-80 growth rates were then used to estimate P60-00. These had to be adjusted again to match the UN estimated national totals which were considerably higher. The adjustment was again uniform.
The resulting district level estimates are obviously highly unreliable. Considering the recent developments in Somalia, they can be considered only a rough proxy of the true current population distribution.

South Africa

  Spatial data Population data
Source Statistics South Africa, Population Census, 1996. 'Community Profile Databases' CD Statistics South Africa, Population Census, 1996. 'Community Profile Databases' CD; 2001-MidYear Province Population estimates data is from: http://www.statssa.gov.za

Previous version was based on the following data
(1) Republic of South Africa (1992), 1992 South African Statistics, Central Statistical Service, Pretoria.
(2) Republic of South Africa (1991), Population Census 1991. Adjustment for undercount, Central Statistical Service, Pretoria.
(3) Zietsman, H. L. and I.J. van der Merwe (1986), Population census atlas of South Africa I.J. van der Merwe, Stellenbosch Institute for Cartographic Analysis, University of Stellenbosch.
(4) Ciskei (1988), Statistical abstract of Ciskei 1988, No.1., Ciskei Central Statistical Service.
(5) Republic of South Africa (1982), South African Statistics 1982, Department of Statistics, Pretoria.
(6) Republic of South Africa (1978), South African Statistics 1978, Department of Statistics, Pretoria.
(7) Republic of South Africa (1968), South African Statistics 1968, Department of Statistics, Pretoria.
(8) Republic of South Africa (1951), 1951 Population census, Vol. 1, Department of Statistics, Pretoria.
(9) Christopher, A. J. (1994) The atlas of apartheid. New York/London, Routledge; Johannesburg, South Africa : Witwatersrand University Press.
Notes The South African shapefiles contain 83,016 administrative units while the census records population values for 83,126 areas. This translates to 110 missing spatial units, all but one of which was incorporated via correspondence with province-level population values. Coastline was not matched to DCW as data is more detailed than DCW, and there is general agreement with DCW. Data were interpolated and extrapolated to 1990,and 2000 using a province level growth rates (1996-2001) applied to corresponding Enumeration Area sub-units. Population was extrapolated to 1960-1980 using the previous version of the data which was based on provincial growth rates.

These are the notes from the previous version
Several circumstances make it very difficult to estimate consistent temporal data series for South Africa despite the well-developed census taking system in the country. Apart from changes in district boundaries between censuses, the creation of homelands and "independent states" cause sudden, drastic changes in district populations that are difficult to reconcile. Even at the province level, population figures for the 1960-90 period fluctuate widely, since population numbers forthe homelands are subtracted at various points in time and compiled for separate units.
In addition, from the available source data it was unclear whether the figures represented adjusted or unadjusted counts. Adjustments for under-enumeration are up to 20% for the black population.
The P60-90 estimates are primarily based on the 1991 population figures compiled from 1) and 2) above. For 1980 only data for approximately 80 statistical regions were available. These regions usually consist of 3-4 districts. The proportion of district population within each statistical area was assumed to remain constant between 1980 and 1991. Additionally, district totals for 1951 were used (after adjusting for disaggregation of boundaries) as well as province level totals for 1960 and 1970. Considerable adjustments and judgement were necessary in some cases - especially for the "independent homelands" and for Natal, where the creation of a large number of small administrative units belonging to Kwazulu homeland caused the listed 1980 pop figures to be significantly larger in most cases than the 1991 figures.
The final estimates were adjusted using national UN estimates to compensate for an apparent underestimation of about 5%.
Since the end of apartheid, the administrative boundaries in South Africa have changed considerably in an ongoing process of revisions.
Even though an updated boundary data set was available from SADCC, the older boundaries matching the 1980 and 1990 censuses have been used, since no pop estimates matching the new boundaries were available.

Sudan

  Spatial data Population data
Source UNEP/GRID-WRI-NCGIA Africa Population Database, https://na.unep.net (1) Central Bureau of Statistics (1993), Population census of Sudan 1993, Census Office, Khartoum. Incomplete due to partial enumeration in Southern Sudan. Boundaries seemed to have changed somewhat between '83 and '93, but no map was available.
(2) Population Studies Center (1983), Population of Sudan and its regions, Project Document 1, 1983 census: Total populations by region, province and district, University of Gezira jointly with Department of Statistics, Census Office.
(3)Republic of Sudan (1961), First population census of Sudan 1955/56, Final report, Vol 1, Khartoum.
(4) Nelson, H.D. (1982), Sudan - A country study, Area Handbook Series, Federal Research Division of the Library of Congress.
(5) Ertur, O.S. and W.J. House (1994), Population and human resources development in the Sudan, Compiled in cooperation with UNFPA and ILO, Iowa State University Press, Ames.
Notes Boundaries changed significantly between the three censuses, so data had to be aggregated or split to match the available boundary data set. The boundaries match the 1983 census although some of the unit names are different in the coverage and the census publications. The Ilemi Triangle , in Kapoeta [admin3 unit] belongs to Sudan by treaty but is administered by Kenya. According to a recent paper by Collins http://www.history.ucsb.edu, SPLM/SPLA, the rebel group that controls Southern Sudan, probably quietly ceded the territory to Kenya. Population figures for Kapoeta were reallocated to the remainder of Kapoeta, without proportional reduction in population, because it was considered unlikely that either Northern or Southern Sudan conducted a census in this region, due to lack of access and presumed cession to Kenya, respectively.
Since matching of the 1956 and 73 units was very difficult due to numerous boundary changes at the lower levels, P80 is based on regional level growth rates 73-83, and P60 and P70 are based on region level growth rates for 56-73.
P90 is based on the intercensal 83-93 growth rate for the districts (third level units) where available. Else they are based on region level growth rates for the areas not enumerated. For these, only 1993 estimates were available. Population data were projected to 2000 using growth rates derived from United Nations national level estimates and projections.

Swaziland

  Spatial data Population data
Source UNEP/GRID-WRI-NCGIA Africa Population Database, https://na.unep.net (1) Common Country Assessment: Swaziland 1997, Provisional Results of the 1997 Population and Housing Census http://www.ecs.co.sz
(2) Swaziland Government (1986), 1986 Swaziland population census, Vol. 1, Statistical Tables, Central Statistical Office, Mbabane.
(3) UN Demographic Yearbooks.
Notes   Pop data available from the 1966, 76, and 86 censuses.

Tanzania, United Republic of

  Spatial data Population data
Source Boundary data were provided by Mike Shand, Cartographer, of the University of Glasgow in Scotland, U.K. Home Page and Tanzania Links: http://www.geog.gla.ac.uk (1) 2002 Population and Housing Census, Tanzania: http://www.tanzania.go.tz
(2) United Republic of Tanzania (1969), 1967 Population Census. Vol. 1, Statistics for Enumeration Areas, Bureau of Statistics, Dar-Es-Salaam.
(3) United Republic of Tanzania (1989), Statistical Abstract of Tanzania 1987, Bureau of Statistics, Dar-Es-Salaam.
(4) United Republic of Tanzania (1989), Sensa 1988 - The 1988 Population Census, Preliminary Results, Bureau of Statistics, Ministry of Finance, Economic Affairs and Planning, Dar-Es-Salaam.
Notes In the 'Mwanza' region, all level 2 units were dissolved/amalgamated to level 1 because it was not possible to identify how the new units were created in this area. The most recent boundaries contained 95 units, but six of these were merged into a single unit in order to make the population data for two time periods compatible. District population figures were available for 1988 from 4 and for 1967 from 2. Where district boundaries changed and the changes could not be reconstructed, district figures were estimated assuming constant growth rates in the region; if it was clear which regions were split, proportional adjustment was used.1978 district totals: based on POP67 and growth rate 67-88. The resulting figures were uniformly adjusted to match the published region totals for 1978. P60-90 calculated by using the resulting intercensal growth rates for 66-78 and 78-88.

Togo

  Spatial data Population data
Source UNEP/GRID-WRI-NCGIA Africa Population Database, http://grid2.cr.usgs.gov The population figures for 1990 were based on estimates produced by Benoit Ninnin for the OECD/Club du Sahel West Africa Long Term Perspective Study (WALTPS) for 1960-90. He used these sources for 1990 population estimates:
(1) Etude d'une Image - Long Terme de l'Afrique.
(2) Lopez-Escartin N.: Donnees de base sur la population, Togo: CEPED, No. 4, Paris, Aout 1991.
Notes  

Tunisia

  Spatial data Population data
Source UNEP/GRID-WRI-NCGIA Africa Population Database, https://na.unep.net (1) Stastistiques Economiques et Sociales de la Tunise Population par gouvernorat au premier juillet. Source: Institut National de la Statistique http://www.ins.nat.tn
(2) Direction General du Plan, Service des Statistique Demographiques (1966), Recensement General de la Population et des Logements 3 Mai 1966, Ministere du Plan, Tunis
(3) Institut National de la Statistique (1975), Recensement General de la Population et des Logements 8 Mai 1975, Ministere du Plan, Tunis.
(4) Institut National de la Statistique (1984), Recensement General de la Population et de l'Habitat, Ministere du Plan, Tunis.
Notes The administrative unit Ariana was split in to 2 units 'Ariana' and 'Manouba' in 2000. As no new spatial data were available, the spatial units and population data were aggregated. A population growth rate was calculated between 1984 to 1996 and 1996 to 2002 to extrapolate to the target years of 1990 to 2000.
P60-80 based on inter-censal growth rates 66-75 and 75-84. Some governates split between the 66 and 75 and between the 75 and 84 census. For the resulting governates, constant growth rates were assumed - i.e., the population in the previous census was split in proportion to the population for the new governates in the later census.

Uganda

  Spatial data Population data
Source Boundary data were produced by the National Statistical Office in collaboration with the UN Statistics Division's Software Development Project (1) Republic of Uganda (1992), Provisional results of the 1991 Population and Housing Census, Statistics Department, Ministry of Finance and Economic Planning, Entebbe, Uganda
(2) Republic of Uganda (1992), The 1991 Population and Housing Census, District Summary Series, Statistics Department, Ministry of Finance and Economic Planning, Entebbe, Uganda
(3) Republic of Uganda (1993), The 1991 Population and Housing Census: Preliminary Estimates of Fertility and Mortality, 1993, Statistics Department, Ministry of Finance and Economic Planning, Entebbe, Uganda
Notes   Growth Rates from 1980 to 1991 were calculated for 28 artificial regions created from level one units so that population data from two time periods could be matched. The calculated growth rates are applied to 1991 parish population to project to 1990 and 2000.
1969 county population based on district level growth rates 1969-80. Exception: the data for urban municipalities was available from RoU (1992) and were considered explicitly. District growth rates were calculated after subtracting the known municipality figures from the 69 and 80 district totals. P60-80 were calculated from resulting 69-80 county growth rates.

Zambia

  Spatial data Population data
Source UNEP/GRID-WRI-NCGIA Africa Population Database, https://na.unep.net (1) Republic of Zambia, 2000 Census of Population and Housing, Presentation of Selected Indicators, 18 November 2002, Mulungushi International Conference Center - Lusaka
(2) Republic of Zambia, 1990 Census of Population, Housing, and Agriculture, Preliminary Report, Central Statistics Office, Lusaka"
(3) Republic of Zambia (1989), Monthly Digest of Statistics, January-June 1989, Central Statistics Office, Lusaka
(4) Republic of Zambia (1973), Statistical Yearbook 1971, Central Statistics Office, Lusaka
Notes   Population totals for 2000 were obtained at the province level but for 1990 were available at the district level. Province level growth-rates from 1990-2000 where thus applied to the 1990 district-level data to obtain district-level estimates of population in 2000.
P60-80 based on censuses for 1963, 1969 and 1980. In cases where districts were split between the 63 and 69 censuses, the 63 population was distributed proportional to the 69 figures.
Kalengwa Township data for 1990 was redistributed from Mufumbwe to Kasempa District to be consistent with prior data and boundaries.

Zimbabwe

  Spatial data Population data
Source UNEP/GRID-WRI-NCGIA Africa Population Database, https://na.unep.net (1) Census 2002, Preliminary Results Summary, Central Statistical Office, Census 1992, Preliminary Report, Central Statistical Office: http://www.zimrelief.info
(2) Central Statistical Office (1992), 1992 Population Census. Preliminary Report, Harare.
(3) Central Statistical Office (1984), 1982 Population Census. A preliminary assessment, Harare.
(4) Central Statistical Office (1969), Census of Population 1969, Salisbury
Notes GIS boundaries derived by dissolving the ward boundaries in the data set obtained from the International Livestock Research Institute (ILRI) to the district level. Chinoye was aggregated with Makonde in the 2002 population data in order to match both our boundaries and 1992 population data (which show them as one unit called Makonde). A population growth rate was calculated between 1992 and 2000 for year 2000.
P60-90 based on published figures for 1961, 1969, 1982 and 1992.
Listings for 1969 and 81 did not match 1992 listings well. Unit names were matched and aggregated to the district level using maps and the ward level GIS coverage obtained through ILRI as a reference. Missing values were estimated using average province level growth rates.
Even though ward level boundaries were available, data were estimated only at the district level, since matching of population census figures for smaller units would have been difficult, if not impossible without more information from the National Statistical Office.

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